exploreTree: 3-step method Latent Class Trees
In MattisvdBergh/LCT: Estimate a Latent Class Tree model with Latent GOLD 5.1

Compute the relation of some covariates with each class by use of the 3-step method.

exploreTree(resTree, LG = LG, syntaxExpl = NULL, sizeMlevels = c(2, 1),
  method = "bch", dirTreeResults = getwd(), ResultsFolder = "exploreTree",
  Covariates = c("age", "sex"), posCovVal = NULL, mLevels = c("ordinal",
  "continuous"), weight = "weight", analysis = "dependent")

`resTree`	A Latent Class Tree object
`LG`	Path to the Latent GOLD executable
`syntaxExpl`	Directory of Latent GOLD syntax for a model for the 3-step analysis. This can be used for more complex models, but
`dirTreeResults`	Maximum size of the first split of the tree. Will be assessed with the criterion given in stopCriterium. Defaults to two.
`ResultsFolder`	folder with results
`measurementLevels`	Whether the ordering of classes should be decreasing or not. Defaults to TRUE.